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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. 8-RES-JB
    11. 12856
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    Explanations

    negative actions or behaviors described using strong language

    oai_token-act-pair · gpt-3.5-turbo

    negative and harmful behaviors or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amaz
    -0.73
    REDACTED
    -0.61
    atorium
    -0.61
    idated
    -0.61
    neau
    -0.61
    oyer
    -0.61
    oglu
    -0.59
    culus
    -0.58
    INC
    -0.57
     Canal
    -0.57
    POSITIVE LOGITS
     throughout
    0.92
     relating
    0.80
     whilst
    0.80
     towards
    0.79
     depending
    0.78
     during
    0.78
     onstage
    0.77
     toward
    0.77
    hips
    0.72
    ets
    0.71
    Activations Density 0.540%

    No Known Activations