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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. 11-RES-JB
    11. 5888
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    Explanations

    references to specific pronouns ('she', 'they', 'he') along with specific verbs, suggesting a focus on personal actions or conversations involving these pronouns

    oai_token-act-pair · gpt-3.5-turbo

    references to specific subjects or characters in the narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Keeper
    -0.72
     ILCS
    -0.63
     Refugee
    -0.59
     GD
    -0.57
     Ago
    -0.56
     Duty
    -0.56
    Reviewer
    -0.55
    GMT
    -0.54
    Mech
    -0.54
     Mund
    -0.54
    POSITIVE LOGITS
     ain
    1.18
     certainly
    1.14
     sure
    1.07
     succeeded
    1.06
     nailed
    1.05
     definitely
    1.00
     surely
    0.96
     proved
    0.95
     didn
    0.93
    'll
    0.92
    Activations Density 0.268%

    No Known Activations