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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. 9-RES-JB
    11. 6010
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    Explanations

    keywords related to technological specifications and components

    oai_token-act-pair · gpt-3.5-turbo

    references to the "x" architecture in computing or technology contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Pru
    -0.87
    getic
    -0.69
     TODAY
    -0.69
    éĹĺ
    -0.68
     Rough
    -0.66
     Sut
    -0.64
    DERR
    -0.63
    GROUND
    -0.63
    soDeliveryDate
    -0.60
    kson
    -0.59
    POSITIVE LOGITS
    yz
    1.29
    xxxxxxxx
    1.06
    peria
    1.06
    eno
    0.96
    anth
    0.96
    posed
    0.95
    ylene
    0.95
    xx
    0.93
    iang
    0.92
    86
    0.92
    Activations Density 0.021%

    No Known Activations