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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3782
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    INDEX
    Explanations

    mentions of e-commerce related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to e-cigarettes and their regulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istically
    -0.71
     Dull
    -0.71
    inates
    -0.70
    cut
    -0.67
    ahime
    -0.66
    pex
    -0.64
    fed
    -0.64
    iris
    -0.64
     Rib
    -0.64
     MPG
    -0.63
    POSITIVE LOGITS
     hobby
    0.79
     platforms
    0.77
     gadgets
    0.75
    eers
    0.73
    cigarette
    0.71
     platform
    0.70
    door
    0.69
    achine
    0.68
     niche
    0.67
     gadget
    0.66
    Activations Density 0.064%

    No Known Activations