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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. 7-RES-JB
    11. 4066
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to therapy and therapeutic concepts

    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
    ELS
    -0.83
    urger
    -0.74
     Wilde
    -0.68
     Raiders
    -0.66
    elson
    -0.66
     Strauss
    -0.64
    ULAR
    -0.64
    UE
    -0.63
     Pound
    -0.63
     Chao
    -0.62
    POSITIVE LOGITS
    apy
    1.36
    apist
    1.33
    idge
    1.04
    rha
    0.99
    nian
    0.98
    mal
    0.97
    odynamic
    0.95
    pher
    0.94
    mins
    0.94
    mite
    0.92
    Activations Density 0.027%

    No Known Activations