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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. 4-RES-JB
    11. 22565
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    Explanations

    words related to negative emotions or situations, such as havoc, devastation, despair, and stress

    oai_token-act-pair · gpt-3.5-turbo

    emotions and negative social impacts related to systemic issues

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

    No Comments

    Negative Logits
     Accounting
    -0.72
    KO
    -0.72
    dule
    -0.65
    GA
    -0.63
    ategor
    -0.62
    haps
    -0.61
    arate
    -0.61
    olphins
    -0.59
    ummies
    -0.59
    asketball
    -0.59
    POSITIVE LOGITS
    iest
    1.13
     quot
    0.90
     afforded
    0.82
    iness
    0.72
     emanating
    0.69
    iveness
    0.69
     inherent
    0.68
    ourge
    0.67
    liest
    0.66
     crunch
    0.65
    Activations Density 0.394%

    No Known Activations