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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. 4-RES-JB
    11. 20571
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    Explanations

    terms related to specific categories or domains

    oai_token-act-pair · gpt-3.5-turbo

    references to specificity or tailored approaches in various contexts

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

    No Comments

    Negative Logits
    rican
    -0.79
    FORE
    -0.74
    mol
    -0.68
    OWER
    -0.67
    http
    -0.66
    Bush
    -0.65
     vom
    -0.65
    911
    -0.64
    tower
    -0.64
     McGu
    -0.63
    POSITIVE LOGITS
    ities
    1.22
    ally
    1.05
    iveness
    0.94
    ivity
    0.92
    ality
    0.88
    ivities
    0.88
    arily
    0.88
    ileged
    0.86
    izations
    0.86
    abulary
    0.85
    Activations Density 0.019%

    No Known Activations