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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. 4-RES-JB
    11. 20168
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    INDEX
    Explanations

    references to technical specifications or identifiers like "GA" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    references to specific camera models

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

    No Comments

    Negative Logits
    ness
    -0.85
    alities
    -0.71
    icity
    -0.70
    nesses
    -0.66
    entially
    -0.66
    meyer
    -0.65
    hood
    -0.65
    iques
    -0.63
    tie
    -0.63
    ality
    -0.63
    POSITIVE LOGITS
    UGE
    1.11
    ZA
    1.09
    BA
    0.97
    ZI
    0.97
    GA
    0.89
    VE
    0.85
     TOUR
    0.84
    FFER
    0.84
    BILITIES
    0.84
    HHHH
    0.83
    Activations Density 0.010%

    No Known Activations