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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. 9-RES-JB
    11. 23807
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    INDEX
    Explanations

    phrases or sentences directing action or attention

    oai_token-act-pair · gpt-3.5-turbo

    the word "right" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igmat
    -0.67
    è¦ļéĨĴ
    -0.66
    ulz
    -0.66
    arette
    -0.65
     Remastered
    -0.65
     CoC
    -0.63
    neys
    -0.63
    ELD
    -0.58
    âĢ¢
    -0.57
    mat
    -0.56
    POSITIVE LOGITS
    eous
    1.09
     smack
    0.96
     away
    0.80
     handed
    0.72
     wing
    0.72
     fielder
    0.70
     aligned
    0.70
     beside
    0.67
     alongside
    0.66
     winger
    0.66
    Activations Density 0.045%

    No Known Activations