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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. 11-RES-JB
    11. 11092
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    Explanations

    dates in the format of years from 1900

    oai_token-act-pair · gpt-3.5-turbo

    references to historical dates and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.77
     helicop
    -0.71
     Bundy
    -0.66
    ño
    -0.63
    ãĥĺ
    -0.62
    arious
    -0.62
     Bots
    -0.61
     Bound
    -0.59
     athlet
    -0.57
     Centauri
    -0.57
    POSITIVE LOGITS
    62
    1.21
    61
    1.21
    49
    1.20
    40
    1.19
    08
    1.19
    09
    1.18
    05
    1.18
    06
    1.18
    56
    1.16
    03
    1.16
    Activations Density 0.036%

    No Known Activations