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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. 6-RES-JB
    11. 2887
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    Explanations

    verbs related to achieving or obtaining something by effort or accomplishment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to achieving or obtaining something, particularly successful actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    psc
    -0.69
    mes
    -0.67
    bow
    -0.66
    timer
    -0.66
    udi
    -0.66
    è¦ļéĨĴ
    -0.65
    leton
    -0.64
    LINE
    -0.63
    mania
    -0.61
    mac
    -0.61
    POSITIVE LOGITS
     assurances
    0.88
    uckland
    0.83
     clearance
    0.79
     sufficient
    0.78
     financing
    0.76
     passage
    0.76
    indal
    0.76
     stakes
    0.73
    folios
    0.73
     adequate
    0.73
    Activations Density 0.022%

    No Known Activations