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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. 12739
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    Explanations

    phrases related to specific numbered steps or instructions

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or counts in various contexts

    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
     tremend
    -1.13
     destro
    -1.05
     eleph
    -1.04
     exting
    -1.02
     enthusi
    -1.02
     reluct
    -1.01
     confir
    -1.01
    aditional
    -1.00
     withd
    -0.99
     helicop
    -0.98
    POSITIVE LOGITS
    .
    0.88
     Explicit
    0.84
    .—
    0.82
     Flavoring
    0.78
     SHARES
    0.76
    ________________________________________________________________
    0.76
    hew
    0.74
    +)
    0.74
    ½
    0.73
    ++)
    0.69
    Activations Density 0.034%

    No Known Activations