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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. 6-RES-JB
    11. 15287
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    Explanations

    questions about the process or action of reaching a specific point or outcome

    oai_token-act-pair · gpt-3.5-turbo

    questions that explore the origins or causes of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uku
    -0.81
    houses
    -0.77
    annel
    -0.70
    emouth
    -0.70
    oubt
    -0.66
     consolation
    -0.65
    lication
    -0.65
    Zone
    -0.65
    aldo
    -0.62
    agraph
    -0.62
    POSITIVE LOGITS
     fateful
    0.78
     originally
    0.76
    Ô
    0.73
     wrong
    0.73
    oslov
    0.68
     genesis
    0.66
    ?:
    0.65
    ILLE
    0.64
     discovered
    0.63
     mistaken
    0.62
    Activations Density 0.264%

    No Known Activations