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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. 16385
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    Explanations

    numeric values indicating a measurement or calculation result

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating collective actions or statements

    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
    CLASSIFIED
    -0.77
    interstitial
    -0.67
     Bravo
    -0.67
    forms
    -0.65
    Reviewer
    -0.65
     Crusade
    -0.64
    votes
    -0.64
     srfAttach
    -0.64
    Posts
    -0.63
     generosity
    -0.62
    POSITIVE LOGITS
    're
    1.12
    've
    1.10
     calculate
    1.04
     observe
    1.03
     expect
    1.03
     aim
    1.01
    'll
    1.00
     derive
    0.98
     conclude
    0.98
     intend
    0.98
    Activations Density 0.302%

    No Known Activations