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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. 20241
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    Explanations

    phrases related to legal cases or decisions

    oai_token-act-pair · gpt-3.5-turbo

    instances of a particular phrase or punctuation

    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
    "]=>
    -0.66
    zz
    -0.63
    lord
    -0.59
    rez
    -0.59
    uring
    -0.58
    orn
    -0.57
    livion
    -0.56
     Latter
    -0.56
    eh
    -0.55
    =#
    -0.55
    POSITIVE LOGITS
     albeit
    1.16
    albeit
    0.93
     namely
    0.80
     respectively
    0.77
     somew
    0.74
    ensibly
    0.72
     alas
    0.69
     preferably
    0.69
     along
    0.68
    actionDate
    0.65
    Activations Density 0.415%

    No Known Activations