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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. 4-RES-JB
    6. 12755
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    Explanations

    terms related to financial activities such as monetization, incentivization, and specific company names like Zy

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial gain and monetization

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

    No Comments

    Negative Logits
     Carbuncle
    -0.87
     Rite
    -0.73
     Sight
    -0.72
    nesses
    -0.68
     Ago
    -0.67
     TAMADRA
    -0.67
     Origin
    -0.66
     Tac
    -0.66
     Alz
    -0.66
     Benedict
    -0.63
    POSITIVE LOGITS
    izable
    1.29
    ized
    1.19
    arily
    1.15
    ization
    1.15
     monet
    1.14
    ised
    1.11
    isation
    1.10
    isable
    1.05
    ated
    1.02
    izing
    1.02
    Activations Density 0.011%

    No Known Activations