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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. 3773
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    Explanations

    words related to ancient mammals, particularly the mastodon

    oai_token-act-pair · gpt-3.5-turbo

    references to "malt" and related terms

    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
    ITNESS
    -0.86
    ITED
    -0.80
    fell
    -0.77
    endi
    -0.76
     fortun
    -0.75
     Gale
    -0.71
    itable
    -0.68
    alsa
    -0.68
    APE
    -0.67
    ruits
    -0.64
    POSITIVE LOGITS
    cius
    0.77
    mus
    0.75
    icz
    0.72
    ovan
    0.71
    odon
    0.69
    inos
    0.68
    reatment
    0.68
    rovers
    0.67
    lace
    0.66
     sensit
    0.66
    Activations Density 0.063%

    No Known Activations