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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. 10-RES-JB
    11. 12387
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    Explanations

    pronouns and verbs related to actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of "we," "they," and related pronouns indicating collective identities or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rencies
    -0.79
    DX
    -0.77
    odox
    -0.73
    uga
    -0.73
     BI
    -0.72
    Ñı
    -0.71
     Rebellion
    -0.71
    BIT
    -0.70
    unal
    -0.70
     Bits
    -0.68
    POSITIVE LOGITS
     instruct
    1.27
     forbid
    1.21
     warn
    1.19
     teach
    1.16
     encour
    1.16
     encourage
    1.14
     instructed
    1.11
     admon
    1.09
     assure
    1.04
     reassure
    1.04
    Activations Density 0.435%

    No Known Activations