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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23131
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    Explanations

    phrases related to societal issues and demographics, such as residents turning into city dwellers or Americans seeking to maximize homeownership

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people and their experiences or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vich
    -0.68
    ILA
    -0.67
    ahime
    -0.67
    atever
    -0.66
     EDIT
    -0.65
    odynamics
    -0.64
    aurus
    -0.64
    aroo
    -0.61
    =-
    -0.61
     majesty
    -0.61
    POSITIVE LOGITS
     mistakenly
    1.03
     errone
    0.88
     resent
    0.87
     overlooked
    0.87
     unaware
    0.85
     disillusion
    0.84
     forgotten
    0.82
     unhappy
    0.82
     wondering
    0.82
     unwittingly
    0.81
    Activations Density 0.326%

    No Known Activations