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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. 9444
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    Explanations

    mentions of the prefix "neo"

    oai_token-act-pair · gpt-3.5-turbo

    the prefix "ne" at the beginning of multiple words

    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
    AGES
    -0.77
    hips
    -0.64
    ahead
    -0.64
    orage
    -0.63
    loo
    -0.62
    ricane
    -0.61
     Graveyard
    -0.60
     lockout
    -0.59
    Layout
    -0.59
     Crunch
    -0.58
    POSITIVE LOGITS
    pher
    1.04
    arest
    0.98
    ccess
    0.93
    onymous
    0.92
    verend
    0.91
    fter
    0.89
    vell
    0.86
    braska
    0.85
    uter
    0.82
    onyms
    0.82
    Activations Density 0.023%

    No Known Activations