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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. 9010
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    Explanations

    words related to belief, assumption, and perception

    oai_token-act-pair · gpt-3.5-turbo

    terms related to beliefs, assumptions, and perceptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    apeake
    -0.64
    umbn
    -0.63
    miah
    -0.63
    eni
    -0.62
    ampa
    -0.62
    quer
    -0.62
    afort
    -0.57
    asca
    -0.56
    hur
    -0.56
    hooting
    -0.56
    POSITIVE LOGITS
     that
    0.94
    ariat
    0.86
     assumption
    0.80
    that
    0.80
    lessness
    0.74
     of
    0.69
     fallacy
    0.68
     THAT
    0.68
    naire
    0.64
     belief
    0.64
    Activations Density 0.222%

    No Known Activations