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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. 4-RES-JB
    11. 16988
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    Explanations

    phrases indicating a specific task or action that needs to be done

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "need" or requirements in various contexts

    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
     Democr
    -0.63
     Brewers
    -0.61
     Skies
    -0.60
    cow
    -0.60
    gdala
    -0.60
    cession
    -0.59
     Lowell
    -0.58
     quir
    -0.56
    dylib
    -0.56
     Pill
    -0.56
    POSITIVE LOGITS
    lessly
    1.18
    ache
    0.78
    n
    0.76
    igslist
    0.74
    nces
    0.71
    xus
    0.68
    ORTS
    0.68
    oppers
    0.65
    aches
    0.65
    LES
    0.65
    Activations Density 0.058%

    No Known Activations