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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. 15406
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    Explanations

    phrases related to significant events or turning points

    oai_token-act-pair · gpt-3.5-turbo

    terms related to significant events or turning points in history or processes

    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
    aceous
    -0.78
    anguage
    -0.73
    rosis
    -0.71
    Lago
    -0.70
    eq
    -0.69
    aye
    -0.68
    endment
    -0.68
    employed
    -0.68
    llah
    -0.67
    packing
    -0.67
    POSITIVE LOGITS
     moment
    0.91
     pivotal
    0.89
     moments
    0.81
     epoch
    0.79
     Moments
    0.77
     watershed
    0.76
    PsyNetMessage
    0.75
     highs
    0.74
     tides
    0.74
     pandemonium
    0.73
    Activations Density 0.025%

    No Known Activations