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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. 2-RES-JB
    11. 23066
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    Explanations

    references to consequences or aftermath

    oai_token-act-pair · gpt-3.5-turbo

    references to fallout and its consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pir
    -0.90
    cer
    -0.87
    ced
    -0.87
    ogun
    -0.85
    aky
    -0.84
    liam
    -0.84
    cius
    -0.81
    haps
    -0.80
    otto
    -0.79
    vae
    -0.77
    POSITIVE LOGITS
     fallout
    1.65
    romeda
    0.87
    SourceFile
    0.80
     spill
    0.77
     repercussions
    0.76
     deflation
    0.76
     consequences
    0.74
    DragonMagazine
    0.71
     ripple
    0.71
     Fallout
    0.70
    Activations Density 0.005%

    No Known Activations