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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. 12944
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    Explanations

    adjectives followed by a word indicating a challenging or unpleasant situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating being trapped or stuck in various situations

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    NOW
    -0.73
    ALLY
    -0.70
     owners
    -0.68
    goers
    -0.67
    ially
    -0.66
    runners
    -0.66
    NBC
    -0.64
    TY
    -0.63
    Voice
    -0.63
    IGN
    -0.63
    POSITIVE LOGITS
     limbo
    0.98
     fumes
    0.82
     flames
    0.82
     unch
    0.82
     obscurity
    0.81
     icy
    0.75
     molten
    0.75
     madness
    0.75
    jured
    0.74
     rever
    0.73
    Activations Density 0.153%

    No Known Activations