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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. 6-RES-JB
    11. 17394
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    INDEX
    Explanations

    measurements of distance

    oai_token-act-pair · gpt-3.5-turbo

    parentheses and numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zeit
    -0.72
     lax
    -0.72
     Daw
    -0.71
     buddy
    -0.69
     Nit
    -0.67
     Nut
    -0.65
     Bees
    -0.65
     Crow
    -0.65
     expire
    -0.64
    edIn
    -0.63
    POSITIVE LOGITS
    sic
    1.21
    approximately
    1.19
    formerly
    1.13
    excluding
    1.11
    including
    1.07
    pictured
    0.98
    âĢ¦)
    0.98
    more
    0.96
    depending
    0.95
    fourth
    0.95
    Activations Density 0.052%

    No Known Activations