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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. 1486
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    iates
    -0.66
     Chero
    -0.65
     interven
    -0.63
     screws
    -0.63
     Commun
    -0.62
     wills
    -0.61
     muster
    -0.60
     stare
    -0.60
    */
    -0.59
     residues
    -0.58
    POSITIVE LOGITS
    senal
    1.21
    rael
    1.14
     hereby
    0.98
    cussion
    0.96
     currently
    0.83
    claimer
    0.83
     definitely
    0.81
     rumored
    0.80
    LAND
    0.79
    olation
    0.77
    Activations Density 0.352%

    No Known Activations