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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. 9-RES-JB
    11. 13761
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    Explanations

    positive adjectives expressing admiration or enthusiasm

    oai_token-act-pair · gpt-3.5-turbo

    positive and negative adjectives expressing strong opinions about experiences or objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    expressing superlative of opinion

    Explanation Uploaded by User
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gemony
    -0.63
    ancies
    -0.60
    arlane
    -0.60
    ivalry
    -0.59
     coun
    -0.58
    icipated
    -0.57
    ©¶æ
    -0.55
    peria
    -0.55
    arij
    -0.54
    insula
    -0.54
    POSITIVE LOGITS
    !!!!
    1.27
    !!!!!
    1.25
    !!!
    1.23
    !!
    1.23
    !.
    1.15
    !
    1.14
    !!!!!!!!
    1.12
    !:
    1.04
    !,
    1.04
     :)
    1.02
    Activations Density 0.189%

    No Known Activations