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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. 1825
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    Explanations

    words related to analysis and data presentation

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions

    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
    oldemort
    -0.74
    poses
    -0.73
    daq
    -0.72
    $.
    -0.71
    requires
    -0.68
    did
    -0.68
    successfully
    -0.68
     helicop
    -0.66
    Instead
    -0.65
    same
    -0.65
    POSITIVE LOGITS
    rogens
    1.03
    rogen
    0.87
     Abilities
    0.75
     Decay
    0.73
     other
    0.73
     Warm
    0.66
     Temper
    0.65
     Associ
    0.63
     Bulk
    0.63
     Guid
    0.62
    Activations Density 0.240%

    No Known Activations