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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. 8705
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
     drying
    -0.86
     leaps
    -0.85
     dismantling
    -0.85
     mechanically
    -0.85
     paralysis
    -0.84
     adaptations
    -0.83
     clamp
    -0.83
     seams
    -0.82
     harsher
    -0.80
     landsl
    -0.79
    POSITIVE LOGITS
    username
    1.55
    example
    1.43
    76561
    1.43
    NAME
    1.41
    ername
    1.38
    USER
    1.35
     username
    1.35
     Username
    1.30
    password
    1.26
    domain
    1.24
    Activations Density 0.470%

    No Known Activations