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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. 4-RES-JB
    6. 10229
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    Explanations

    instances of words related to legal and authoritative actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "exercise" and its variations in various contexts

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

    No Comments

    Negative Logits
     slime
    -0.63
     dump
    -0.62
     fodder
    -0.62
     Purdue
    -0.62
    azor
    -0.61
     punch
    -0.60
     statistic
    -0.60
     Jol
    -0.59
     vomit
    -0.58
     Anon
    -0.58
    POSITIVE LOGITS
    orius
    0.89
    ĪĴ
    0.84
     unfocusedRange
    0.79
     obe
    0.78
     restraint
    0.77
    edience
    0.76
    rences
    0.76
     strict
    0.73
    lesiastical
    0.73
    compliance
    0.72
    Activations Density 0.223%

    No Known Activations