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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. 17076
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    Explanations

    words related to positive experiences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    words associated with positive experiences or feelings of refreshment and reward

    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
    iatrics
    -0.78
    efer
    -0.76
    ariat
    -0.74
    riage
    -0.70
    OPE
    -0.69
    talk
    -0.69
    deal
    -0.69
    ellect
    -0.68
    peria
    -0.68
    behind
    -0.67
    POSITIVE LOGITS
    ly
    1.09
    tons
    0.97
    LY
    0.91
    theless
    0.79
    NESS
    0.77
     conduc
    0.75
     atmosp
    0.73
     heights
    0.71
     corrid
    0.71
     qualities
    0.71
    Activations Density 0.082%

    No Known Activations