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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. 21204
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    Explanations

    mentions of a specific editorial board

    oai_token-act-pair · gpt-3.5-turbo

    mentions of editorial boards

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rea
    -0.86
    ewitness
    -0.72
    uterte
    -0.68
    itness
    -0.67
    BLIC
    -0.67
     arrang
    -0.67
     RELEASE
    -0.67
    INO
    -0.67
    esson
    -0.67
    FA
    -0.65
    POSITIVE LOGITS
    ħĭ
    0.80
    senal
    0.74
     disguise
    0.72
    ¼
    0.71
     Chiefs
    0.70
     Borough
    0.69
     Clouds
    0.65
     Chambers
    0.64
     Moor
    0.63
     Kit
    0.62
    Activations Density 0.000%

    No Known Activations