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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. 6285
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    INDEX
    Explanations

    mentions of locations or entities within specific contexts or groups

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "within" in various contexts

    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
    rex
    -0.81
    opal
    -0.79
    odore
    -0.64
    onna
    -0.63
    finger
    -0.63
    mist
    -0.62
    rent
    -0.61
    ahs
    -0.60
    Redditor
    -0.60
    roll
    -0.60
    POSITIVE LOGITS
     confines
    1.77
     bounds
    1.56
     boundaries
    1.38
     limits
    1.26
     framework
    1.24
     borders
    1.19
     parameters
    1.19
     walls
    1.19
     constraints
    1.14
     context
    1.10
    Activations Density 0.155%

    No Known Activations