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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. 11-RES-JB
    11. 1121
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    Explanations

    phrases related to transformation or change

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to actions and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Its
    -0.69
    atform
    -0.64
     Its
    -0.63
    Cub
    -0.62
    052
    -0.61
    rican
    -0.58
    issance
    -0.56
    BAT
    -0.56
    Fif
    -0.56
    llah
    -0.56
    POSITIVE LOGITS
     themselves
    1.68
     their
    1.30
    their
    1.25
     THEIR
    1.13
     Their
    1.07
    selves
    1.07
    Their
    1.05
     meanings
    0.93
    they
    0.92
    geries
    0.86
    Activations Density 0.576%

    No Known Activations