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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. 6-RES-JB
    11. 9882
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    Explanations

    statements indicating findings or conclusions in research or studies

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yp
    -0.64
    mouth
    -0.64
    Guard
    -0.63
     redes
    -0.62
    gur
    -0.60
    andem
    -0.60
    iciary
    -0.60
    atro
    -0.59
    arak
    -0.58
    rack
    -0.58
    POSITIVE LOGITS
     although
    0.82
    ccording
    0.74
     "[
    0.67
     there
    0.67
    soever
    0.66
     they
    0.65
    avorite
    0.65
     despite
    0.64
     contradicts
    0.64
     disproportion
    0.62
    Activations Density 0.190%

    No Known Activations