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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. 1-RES-JB
    11. 511
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    INDEX
    Explanations

    references to cold weather or freezing conditions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of frost or freezing conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FT
    -0.70
    ************
    -0.68
    Brazil
    -0.67
    Trend
    -0.67
    Students
    -0.65
    Es
    -0.65
    NAS
    -0.64
    por
    -0.64
    Attempts
    -0.64
    ********************************
    -0.64
    POSITIVE LOGITS
    bite
    1.32
     frost
    1.14
     Frost
    1.13
    enstein
    0.97
    cream
    0.84
    burn
    0.83
    idious
    0.83
    flake
    0.82
     chilled
    0.79
     melted
    0.78
    Activations Density 0.005%

    No Known Activations