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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. 7-RES-JB
    6. 1701
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    Explanations

    ratings out of 5 and comments by customers

    oai_token-act-pair · gpt-3.5-turbo

    ratings and qualitative evaluations of products

    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
    ospace
    -0.79
    ihad
    -0.77
    bleacher
    -0.74
    civil
    -0.72
    TAG
    -0.68
    NetMessage
    -0.68
    staking
    -0.67
    ottenham
    -0.67
    anwhile
    -0.65
    ropolis
    -0.65
    POSITIVE LOGITS
     Helpful
    0.73
     Nice
    0.71
    vertisements
    0.71
     Review
    0.71
     LOVE
    0.66
     Loving
    0.66
    nice
    0.66
     taco
    0.64
     HI
    0.64
    bie
    0.63
    Activations Density 0.057%

    No Known Activations