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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. 1-RES-JB
    11. 18738
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    Explanations

    names of a specific person, "Robbie," and words related to keepsakes or mementos

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or individuals, particularly those related to a particular context or narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ural
    -0.80
    onut
    -0.73
    abus
    -0.71
    icum
    -0.71
    izations
    -0.71
    umen
    -0.68
    andum
    -0.67
     terminals
    -0.67
    ashtra
    -0.66
    omon
    -0.65
    POSITIVE LOGITS
     Robbie
    0.84
     Cheong
    0.76
     trave
    0.70
    united
    0.70
    EStream
    0.68
     Rica
    0.67
    isf
    0.66
    inals
    0.66
    %%
    0.65
     Joined
    0.65
    Activations Density 0.016%

    No Known Activations