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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. 2-RES-JB
    11. 1990
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    Explanations

    mentions of shopping malls

    oai_token-act-pair · gpt-3.5-turbo

    references to 'Mall' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.79
    SHIP
    -0.75
    IBLE
    -0.74
    ×Ļ×
    -0.69
    ×ķ
    -0.69
    chnology
    -0.68
    DIT
    -0.64
    vous
    -0.64
    SOURCE
    -0.63
    ccording
    -0.62
    POSITIVE LOGITS
     Mall
    1.13
    aby
    0.98
    ageddon
    0.96
    ieu
    0.93
    endor
    0.93
    igl
    0.92
    ocks
    0.88
    itect
    0.87
    ikan
    0.86
    enium
    0.86
    Activations Density 0.005%

    No Known Activations