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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. 6-RES-JB
    6. 7000
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    INDEX
    Explanations

    mentions of cleaning or erasing

    oai_token-act-pair · gpt-3.5-turbo

    words related to crying or emotional distress

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    CI
    -0.73
     pige
    -0.64
    ³³³³³³³³³³³³³³³³
    -0.64
     resemblance
    -0.64
     Reyn
    -0.63
    SEE
    -0.63
    avorite
    -0.62
    Flight
    -0.61
     Argent
    -0.61
     Balt
    -0.61
    POSITIVE LOGITS
    bing
    1.62
    bed
    1.27
    bers
    1.14
    glers
    1.08
    ging
    1.07
    ri
    1.04
    ber
    1.02
    pled
    1.01
    bled
    0.98
    hett
    0.97
    Activations Density 0.072%

    No Known Activations