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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. 3544
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    Explanations

    phrases or terms related to achieving or breaking previous records

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the attainment of significant milestones or extreme values

    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
    adin
    -0.86
    nery
    -0.78
     cart
    -0.72
    yg
    -0.70
    creen
    -0.69
     Franch
    -0.67
    dot
    -0.67
    amar
    -0.65
    null
    -0.64
    atche
    -0.64
    POSITIVE LOGITS
     breaker
    1.01
     record
    0.95
    breaking
    0.91
     highs
    0.86
     lows
    0.84
     holder
    0.84
    record
    0.81
     Breaker
    0.77
     achievement
    0.76
    keeping
    0.75
    Activations Density 0.029%

    No Known Activations