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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. 4093
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    Explanations

    phrases indicating specific events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "an" suggesting focuses on articles in written text

    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
    verting
    -0.78
    brates
    -0.70
     glim
    -0.67
     Brach
    -0.65
     given
    -0.65
     Punk
    -0.64
    Material
    -0.64
    ware
    -0.64
    root
    -0.64
    bringer
    -0.63
    POSITIVE LOGITS
     undisclosed
    1.02
     unnamed
    0.97
     assortment
    0.96
     unspecified
    0.96
     unidentified
    0.94
    esthes
    0.91
    gered
    0.90
     unsuccessful
    0.90
     obscure
    0.89
     unrelated
    0.88
    Activations Density 0.203%

    No Known Activations