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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. 1896
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    Explanations

    words related to collecting or bringing together different items or data points

    oai_token-act-pair · gpt-3.5-turbo

    terms related to aggregation and sourness

    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
    agne
    -0.85
    @#&
    -0.79
    DCS
    -0.67
    oses
    -0.67
    oning
    -0.65
    inct
    -0.65
    IELD
    -0.64
     Hemp
    -0.64
    rones
    -0.64
     Mech
    -0.63
    POSITIVE LOGITS
    ging
    0.91
    pillar
    0.78
    die
    0.78
    ities
    0.77
    gew
    0.77
    gers
    0.76
    ged
    0.76
    ulative
    0.76
    umbers
    0.74
    cery
    0.73
    Activations Density 0.070%

    No Known Activations