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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. 24219
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    Explanations

    words related to locations or settings

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or spaces

    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
    rd
    -0.69
    ÄŁ
    -0.64
    TAG
    -0.64
     Rudd
    -0.63
    emale
    -0.63
    jin
    -0.61
     Latest
    -0.61
    irst
    -0.61
    FIN
    -0.59
    icism
    -0.59
    POSITIVE LOGITS
    bos
    1.13
    holders
    0.93
    holder
    0.83
    ername
    0.76
     inhabited
    0.72
    places
    0.72
     holder
    0.71
     where
    0.71
     frequ
    0.71
    upon
    0.70
    Activations Density 0.035%

    No Known Activations