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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 5591
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    INDEX
    Explanations

    phrases indicating the best or most optimal course of action or solution

    oai_token-act-pair · gpt-3.5-turbo

    phrases that assert superiority or optimality in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ancies
    -0.76
    each
    -0.73
    thood
    -0.70
    eds
    -0.69
     teasp
    -0.67
    sleep
    -0.66
    oops
    -0.64
    events
    -0.63
    scl
    -0.63
    arms
    -0.62
    POSITIVE LOGITS
     thing
    1.14
     antidote
    1.03
     solution
    1.02
     indication
    1.00
     indicator
    0.99
     source
    0.98
     reason
    0.97
     option
    0.96
     predictor
    0.94
     motiv
    0.92
    Activations Density 0.178%

    No Known Activations