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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. 5450
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    Explanations

    terms indicating implications or consequences of a given situation, discovery, or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss the consequences or effects of actions and events

    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
    bor
    -0.69
    yards
    -0.69
    oned
    -0.68
    jet
    -0.68
    cer
    -0.68
    oning
    -0.67
    ced
    -0.66
    cé
    -0.65
    rug
    -0.64
    colored
    -0.64
    POSITIVE LOGITS
     implications
    1.37
     ramifications
    1.13
    ratulations
    0.96
     fallout
    0.92
     consequences
    0.91
     implication
    0.89
     repercussions
    0.89
    afety
    0.85
     impacts
    0.83
    romeda
    0.81
    Activations Density 0.014%

    No Known Activations