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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. 10-RES-JB
    11. 8177
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    Explanations

    places or locations mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or places within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥīãĥ©
    -0.63
     Elements
    -0.62
    enz
    -0.61
    asions
    -0.60
    Thursday
    -0.60
    orks
    -0.58
     Dates
    -0.58
     Wass
    -0.58
     subtitles
    -0.58
    enses
    -0.58
    POSITIVE LOGITS
     unto
    1.06
     worthy
    1.01
     deserving
    0.88
     worth
    0.88
     ripe
    0.84
     destined
    0.84
     borne
    0.82
     unworthy
    0.80
     devoid
    0.76
    achable
    0.75
    Activations Density 0.226%

    No Known Activations