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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. 7-RES-JB
    11. 3765
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    Explanations

    mentions of the name "Ber" followed by a strong activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Ber."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.76
    urities
    -0.69
     Painter
    -0.67
    BOOK
    -0.67
     parity
    -0.66
    terday
    -0.65
    »Ĵ
    -0.65
     Lovecraft
    -0.65
    isting
    -0.65
    ODUCT
    -0.64
    POSITIVE LOGITS
    rien
    1.17
    keley
    1.09
    mingham
    1.07
    ger
    1.04
    rigan
    1.02
    lus
    1.01
    icy
    0.97
    tha
    0.96
    lins
    0.93
    ried
    0.92
    Activations Density 0.021%

    No Known Activations