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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. 20086
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    INDEX
    Explanations

    phrases related to sports and physical performance

    oai_token-act-pair · gpt-3.5-turbo

    sentences indicating completion or accomplishment

    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
     interf
    -0.82
    izoph
    -0.78
     autonom
    -0.76
     compan
    -0.75
     apologise
    -0.75
     integ
    -0.74
     censored
    -0.74
     mobil
    -0.72
     epigen
    -0.72
     predec
    -0.72
    POSITIVE LOGITS
     Granted
    1.33
     Manziel
    1.23
     Fans
    1.23
     Players
    1.22
     Defensive
    1.21
     Kaepernick
    1.19
     Rookie
    1.18
     Regardless
    1.17
     He
    1.17
     Teams
    1.15
    Activations Density 0.311%

    No Known Activations