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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. 21388
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    Explanations

    phrases indicating a specific source or reference for information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce reported speech or attribution

    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
     eleph
    -1.16
    Þ
    -1.16
    ccording
    -1.13
     exting
    -1.10
    ò
    -1.08
     practition
    -1.07
    aditional
    -1.04
     pione
    -1.03
    ñ
    -1.01
    À
    -1.00
    POSITIVE LOGITS
     to
    0.82
     thereto
    0.67
    dayName
    0.60
    to
    0.59
     TO
    0.57
    -+
    0.52
     NULL
    0.52
    To
    0.51
    athan
    0.51
    SPONSORED
    0.50
    Activations Density 0.092%

    No Known Activations