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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. 2-RES-JB
    11. 13414
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    Explanations

    proper names or titles potentially related to a film or media production

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with film and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    secut
    -0.78
    ãĥ©ãĥ³
    -0.71
    thouse
    -0.71
    mouth
    -0.67
     stocking
    -0.67
    chin
    -0.67
    querque
    -0.67
     knot
    -0.65
     amulet
    -0.65
     squirrel
    -0.64
    POSITIVE LOGITS
    iew
    1.18
    sburgh
    0.99
    iov
    0.80
    ski
    0.76
    lik
    0.76
    iga
    0.75
    ERG
    0.74
     Lov
    0.74
    orno
    0.74
    iott
    0.73
    Activations Density 0.031%

    No Known Activations