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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. 6949
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    INDEX
    Explanations

    similarities or connections between different concepts or entities mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social stigma or negative associations

    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
    ignty
    -0.82
    IVERS
    -0.78
    IVER
    -0.74
    vere
    -0.70
    icter
    -0.69
    rament
    -0.68
    abwe
    -0.66
    swick
    -0.65
    etsk
    -0.64
    perial
    -0.64
    POSITIVE LOGITS
     conversation
    1.19
     dictionary
    1.04
     subconscious
    1.04
     convers
    1.03
     conversations
    1.01
     acquaintance
    0.96
     context
    0.96
     polite
    0.96
     chat
    0.91
     sentence
    0.91
    Activations Density 0.387%

    No Known Activations