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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. 3607
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    INDEX
    Explanations

    sports-related acronyms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams or leagues

    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
     Metallic
    -0.65
     correction
    -0.63
    uate
    -0.62
     magnets
    -0.60
     Canaver
    -0.59
     aver
    -0.59
     Saving
    -0.59
     Uz
    -0.58
     Antiqu
    -0.58
     "_
    -0.57
    POSITIVE LOGITS
    NBA
    1.12
    HL
    1.05
    inger
    1.01
    BO
    0.97
    LB
    0.96
    UGC
    0.96
    iggle
    0.96
    rig
    0.96
    PP
    0.93
    ijn
    0.93
    Activations Density 0.018%

    No Known Activations