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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. 22046
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    INDEX
    Explanations

    proper nouns representing individuals

    oai_token-act-pair · gpt-3.5-turbo

    the letter 'v' in various contexts

    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
    EStream
    -0.90
     bumper
    -0.72
     pointer
    -0.70
     referen
    -0.69
     downstream
    -0.68
    */(
    -0.68
    £ı
    -0.67
    Ĥª
    -0.66
    anguage
    -0.65
     retri
    -0.64
    POSITIVE LOGITS
    apor
    1.16
    olution
    1.06
    iii
    1.06
    ita
    1.05
    irus
    1.04
    III
    1.03
    intage
    1.03
    ii
    1.01
    endor
    0.99
    oodoo
    0.98
    Activations Density 0.022%

    No Known Activations