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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. 0-RES-JB
    11. 2504
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    Explanations

    words related to criticism or negative evaluations

    oai_token-act-pair · gpt-3.5-turbo

    words related to accountability and consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    azaki
    -0.80
    ifles
    -0.77
    iasis
    -0.76
    ructose
    -0.74
    elling
    -0.72
    resy
    -0.72
    adra
    -0.72
    ivalry
    -0.71
    culus
    -0.70
    agra
    -0.70
    POSITIVE LOGITS
    ute
    0.73
    ãĤ¿
    0.73
    ãĤ·ãĥ£
    0.73
    UTE
    0.67
    acio
    0.65
     Tick
    0.65
    ãĤ«
    0.64
    Balt
    0.63
     Zeit
    0.63
     thereof
    0.63
    Activations Density 0.000%

    No Known Activations