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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. 8-RES-JB
    11. 24337
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    INDEX
    Explanations

    instances of the word "say"

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal opinion or statements of belief

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uras
    -0.74
    onut
    -0.71
    poons
    -0.69
    hs
    -0.67
    uga
    -0.66
    HOU
    -0.65
    BAT
    -0.64
    psons
    -0.63
    estern
    -0.63
    CW
    -0.62
    POSITIVE LOGITS
     goodbye
    0.78
     è£ıè
    0.69
     anecd
    0.67
     hello
    0.65
    nil
    0.64
     yea
    0.61
     Responsibility
    0.61
     congr
    0.60
     yes
    0.60
     epist
    0.59
    Activations Density 0.066%

    No Known Activations