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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. 7122
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    Explanations

    color codes in hex format

    oai_token-act-pair · gpt-3.5-turbo

    specific identifiers and numerical data related to classification codes

    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
     Jiu
    -0.67
     atmosp
    -0.67
     Dragonbound
    -0.65
    dayName
    -0.64
     EP
    -0.63
     EFF
    -0.63
     Ange
    -0.61
     Amer
    -0.60
     delic
    -0.60
     Sally
    -0.60
    POSITIVE LOGITS
    64
    1.23
    98
    1.18
    80
    1.18
    60
    1.18
    38
    1.18
    55
    1.17
    19
    1.16
    45
    1.16
    65
    1.16
    68
    1.16
    Activations Density 0.127%

    No Known Activations