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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. 4720
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    Explanations

    statistics related to performance in sports

    oai_token-act-pair · gpt-3.5-turbo

    sentences with specific statistical expressions or metrics

    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
     advis
    -0.65
     parach
    -0.63
     travellers
    -0.58
    bys
    -0.57
     presenter
    -0.57
     democrat
    -0.57
     christ
    -0.56
     fung
    -0.55
     organisers
    -0.55
     hypotheses
    -0.55
    POSITIVE LOGITS
    5
    1.18
    0
    1.11
    06
    1.05
    8
    1.05
    6
    1.05
    9
    1.04
    56
    1.00
    25
    0.98
    96
    0.98
    7
    0.97
    Activations Density 0.046%

    No Known Activations