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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 8419
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    Explanations

    phrases where something is being explained or discussed in detail

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the words "described" and "discussed."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idity
    -0.80
    cot
    -0.73
    lev
    -0.70
    ajo
    -0.70
    riot
    -0.67
    opers
    -0.66
    adra
    -0.65
    otion
    -0.65
    ionage
    -0.65
    bal
    -0.65
    POSITIVE LOGITS
    ĸļ
    0.86
    escription
    0.83
     Parenthood
    0.82
     supra
    0.76
     inconsist
    0.76
    ãĤ¶
    0.73
     above
    0.72
    ktop
    0.71
     herein
    0.68
    ocument
    0.68
    Activations Density 0.180%

    No Known Activations