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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. 10-RES-JB
    11. 12220
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    Explanations

    numerical dates

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values or date references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.68
    abwe
    -0.67
     Canaveral
    -0.61
     Paste
    -0.60
    imaru
    -0.59
     Bok
    -0.59
     Collider
    -0.57
    ikawa
    -0.57
     Mik
    -0.56
     signalling
    -0.55
    POSITIVE LOGITS
    th
    1.49
    ieth
    1.17
    teenth
    1.12
    venth
    1.10
    rd
    1.07
    nd
    1.00
    hest
    0.92
    liest
    0.90
    800
    0.89
    finals
    0.88
    Activations Density 0.110%

    No Known Activations