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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. 3-RES-JB
    11. 15582
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal or procedural contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.63
    hemy
    -0.63
    cale
    -0.59
    othing
    -0.57
    laus
    -0.56
    UTERS
    -0.56
     Helpful
    -0.56
    olia
    -0.53
     Lanka
    -0.53
    ĵĺ
    -0.53
    POSITIVE LOGITS
    liest
    0.70
     itself
    0.70
    iest
    0.69
     aisle
    0.67
    ultimate
    0.66
     portion
    0.65
    osphere
    0.63
     operator
    0.60
    eers
    0.59
     descriptor
    0.56
    Activations Density 1.496%

    No Known Activations