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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. 15123
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    INDEX
    Explanations

    powerful or impactful moments within a text

    oai_token-act-pair · gpt-3.5-turbo

    key moments that evoke significant emotional responses

    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
    ply
    -0.80
    sonian
    -0.68
    vacc
    -0.68
    GE
    -0.68
    backer
    -0.67
    ãģĮ
    -0.67
    sheet
    -0.66
    inav
    -0.66
    bard
    -0.66
    jet
    -0.66
    POSITIVE LOGITS
     moments
    1.13
    hift
    1.01
     Moments
    0.96
    aneous
    0.89
    ary
    0.86
    aneously
    0.86
     glimps
    0.82
     Moment
    0.82
    ues
    0.79
     involving
    0.78
    Activations Density 0.026%

    No Known Activations