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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12815
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    Explanations

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    numbers and statistics in sentences

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     beauty
    -0.68
     bunny
    -0.65
     traveler
    -0.65
     rabbit
    -0.63
     shroud
    -0.62
     roam
    -0.62
     maiden
    -0.60
     stre
    -0.59
     advis
    -0.59
     clo
    -0.59
    POSITIVE LOGITS
    5
    1.10
    0
    1.05
    75
    1.01
    25
    1.01
    06
    1.01
    6
    1.00
    04
    1.00
    jpg
    0.98
    09
    0.98
    08
    0.98
    Activations Density 0.107%

    No Known Activations