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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. 8-RES-JB
    11. 6294
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    Explanations

    comma punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    phrases or clauses indicating actions or conditions related to governance and policy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "]=>
    -0.71
    orn
    -0.69
     Latter
    -0.63
    .--
    -0.59
    ]}
    -0.59
    .—
    -0.55
    LOG
    -0.55
    "},"
    -0.55
    lus
    -0.55
    =#
    -0.55
    POSITIVE LOGITS
     albeit
    0.85
    particularly
    0.77
     preferably
    0.76
    albeit
    0.72
    emort
    0.70
     namely
    0.68
    resses
    0.67
     comprising
    0.66
    ACTED
    0.65
    including
    0.65
    Activations Density 0.398%

    No Known Activations