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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. 11153
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    Explanations

    phrases related to methods or techniques

    oai_token-act-pair · gpt-3.5-turbo

    references to various methods or techniques

    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
     impression
    -0.67
     Messi
    -0.66
     gloom
    -0.65
     Barkley
    -0.62
     Sons
    -0.62
    ments
    -0.61
     Falcons
    -0.60
    ixture
    -0.59
     juven
    -0.59
     Aliens
    -0.57
    POSITIVE LOGITS
    ologies
    1.53
    ologically
    1.18
    ologic
    1.12
    ical
    1.03
    ology
    1.01
    OLOGY
    0.96
    ically
    0.92
    ologists
    0.84
    sonian
    0.83
    ological
    0.83
    Activations Density 0.023%

    No Known Activations