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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. 6-RES-JB
    11. 7244
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    Explanations

    mentions of a specific course or item to support a cause

    oai_token-act-pair · gpt-3.5-turbo

    references to the reader in a direct and engaging manner

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipal
    -0.72
    images
    -0.68
    imon
    -0.64
    acular
    -0.63
    upe
    -0.62
    BuyableInstoreAndOnline
    -0.62
    icent
    -0.62
    apo
    -0.60
     airs
    -0.60
    image
    -0.60
    POSITIVE LOGITS
    're
    1.40
    tub
    1.21
    've
    1.19
    'll
    1.16
    'd
    1.07
    RS
    0.99
     guys
    0.99
     contrace
    0.86
     wanna
    0.86
     want
    0.85
    Activations Density 0.153%

    No Known Activations