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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. 11-RES-JB
    11. 9136
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    Explanations

    references to transportation and logistics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to transportation and logistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¿½
    -0.62
    cknow
    -0.62
     elig
    -0.61
     Clash
    -0.58
    æĢ
    -0.56
    ashington
    -0.56
    ottest
    -0.54
    ITNESS
    -0.53
     shortcomings
    -0.50
    ĻĤ
    -0.50
    POSITIVE LOGITS
     onto
    1.35
     into
    1.22
     hither
    1.21
     away
    1.21
     forward
    1.17
     toward
    1.16
     INTO
    1.13
     forwards
    1.12
     onward
    1.11
     towards
    1.11
    Activations Density 0.463%

    No Known Activations