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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. 3-RES-JB
    11. 16261
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    Explanations

    adjectives related to mental or emotional distress

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "disturbed" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     drilled
    -0.69
    imb
    -0.68
    amacare
    -0.68
    silver
    -0.67
    gil
    -0.67
    oled
    -0.66
     motto
    -0.65
    GC
    -0.65
    hart
    -0.64
    ilts
    -0.64
    POSITIVE LOGITS
    ktop
    0.87
     awaken
    0.82
     disturbances
    0.81
    ingly
    0.81
     disturb
    0.80
     disturbed
    0.79
    ĸļ
    0.76
     disturbance
    0.74
     distur
    0.69
     curfew
    0.69
    Activations Density 0.017%

    No Known Activations