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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. 7-RES-JB
    11. 9475
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    Explanations

    punctuation marks at the end of sentences

    oai_token-act-pair · gpt-3.5-turbo

    statements or claims made in a formal or authoritative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mosqu
    -0.84
    omorphic
    -0.80
    opian
    -0.76
     manif
    -0.71
    irtual
    -0.71
    ikuman
    -0.65
     freight
    -0.65
     charact
    -0.65
     artisan
    -0.65
     tremend
    -0.65
    POSITIVE LOGITS
     Also
    1.05
     Normally
    0.95
     Including
    0.92
     *)
    0.92
     Instead
    0.90
     They
    0.88
     */
    0.87
     Previously
    0.85
     Sometimes
    0.85
     Cf
    0.84
    Activations Density 0.533%

    No Known Activations