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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. 2-RES-JB
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    Explanations

    mentions of hacks and hacking activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "hack" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pha
    -0.77
     Mamm
    -0.70
     Cla
    -0.70
    Court
    -0.70
     Decay
    -0.69
     Statements
    -0.63
    ãħĭ
    -0.62
     Archdemon
    -0.61
    oplan
    -0.61
    eva
    -0.61
    POSITIVE LOGITS
    athon
    1.10
    intosh
    1.05
     hack
    1.00
    nik
    0.93
    hack
    0.84
    aday
    0.82
    Disney
    0.80
    lings
    0.78
    Hack
    0.77
    tie
    0.76
    Activations Density 0.008%

    No Known Activations