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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. 1771
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    Explanations

    instances of mentions or descriptions of groups of people or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to groups or collectives of people

    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
    verbs
    -0.66
     Statements
    -0.66
     endings
    -0.63
    inen
    -0.60
     arteries
    -0.60
     holes
    -0.58
     trophies
    -0.58
     loopholes
    -0.57
     Machines
    -0.57
     machines
    -0.57
    POSITIVE LOGITS
     consisting
    1.07
     of
    1.06
     comprising
    0.99
     member
    0.93
     comprised
    0.92
     assembled
    0.89
     composed
    0.88
    think
    0.85
     OF
    0.82
    member
    0.80
    Activations Density 0.149%

    No Known Activations