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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. 5468
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    Explanations

    verbs related to requirements or conditions that need to be met

    oai_token-act-pair · gpt-3.5-turbo

    the necessity of actions or responses in future scenarios

    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
     Lif
    -0.64
     Info
    -0.59
     Holo
    -0.58
     Spons
    -0.58
     meant
    -0.57
     Laden
    -0.57
     Born
    -0.57
     Curious
    -0.56
     [/
    -0.56
     Mayhem
    -0.56
    POSITIVE LOGITS
     reckon
    1.27
     contend
    1.26
     rethink
    1.17
     rely
    1.17
     grapple
    1.16
     cope
    1.13
     prove
    1.13
     decide
    1.12
     abide
    1.10
     fend
    1.08
    Activations Density 0.131%

    No Known Activations