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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. 0-RES-JB
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    Explanations

    the name "Tiger" preceded by varied contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tiger"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DUP
    -0.70
    POSE
    -0.62
     councils
    -0.60
     ends
    -0.59
     LP
    -0.59
     Peaks
    -0.58
     coinc
    -0.57
     blocks
    -0.57
     categories
    -0.57
     receptions
    -0.56
    POSITIVE LOGITS
    iger
    4.79
    igers
    2.58
    ig
    1.32
    igger
    1.32
    ige
    1.24
    inger
    1.19
    igen
    1.17
    igi
    1.13
     Tiger
    1.10
    igators
    1.06
    Activations Density 0.016%

    No Known Activations