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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. 1-RES-JB
    11. 6724
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    Explanations

    terminology related to inquiries or investigations

    oai_token-act-pair · gpt-3.5-turbo

    words related to inquiries or investigations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Depend
    -0.76
    Guest
    -0.71
     Falk
    -0.68
     Berlin
    -0.65
     Olson
    -0.64
    Downloadha
    -0.63
     Shed
    -0.63
     Kimber
    -0.63
    DF
    -0.62
    Sweet
    -0.62
    POSITIVE LOGITS
     Inqu
    1.43
     inqu
    1.25
     inquire
    1.24
     enqu
    1.22
    isition
    1.21
    iries
    1.16
    isitions
    1.16
     inquiries
    1.12
    iry
    1.07
     inquired
    0.96
    Activations Density 0.007%

    No Known Activations