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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. 3685
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    Explanations

    references to social media

    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media

    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
    nces
    -0.90
     Cursed
    -0.83
    ñ
    -0.78
     Lank
    -0.75
    gger
    -0.71
    xual
    -0.71
    nce
    -0.70
    wered
    -0.70
    eters
    -0.69
    iasis
    -0.69
    POSITIVE LOGITS
     relations
    0.86
     cohesion
    0.84
     psychologists
    0.81
     psychologist
    0.80
     networking
    0.79
     norms
    0.79
     behavi
    0.79
     psychology
    0.76
     cues
    0.74
     welf
    0.74
    Activations Density 0.025%

    No Known Activations