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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. 1-RES-JB
    11. 8655
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    Explanations

    words related to strong interests or preoccupations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "obsession" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reens
    -0.73
    casts
    -0.72
    stood
    -0.71
    annis
    -0.69
    cutting
    -0.64
    uth
    -0.64
    cuts
    -0.63
    gm
    -0.62
     hosts
    -0.62
    authent
    -0.61
    POSITIVE LOGITS
     obsession
    0.90
     fascination
    0.87
    ively
    0.83
     obsess
    0.83
    ishly
    0.80
     fascinated
    0.79
     obsessed
    0.79
     fixation
    0.74
    ulously
    0.74
    iously
    0.72
    Activations Density 0.017%

    No Known Activations