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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. 3-RES-JB
    11. 18071
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    oai_token-act-pair · gpt-3.5-turbo

    calls to action or prompts for interaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cular
    -0.70
    parable
    -0.69
    ilic
    -0.67
     transpl
    -0.66
    avering
    -0.64
    blance
    -0.64
    ufact
    -0.64
    ranged
    -0.63
    bestos
    -0.63
    angering
    -0.62
    POSITIVE LOGITS
    MSN
    0.98
     buttons
    0.75
    Brow
    0.75
     button
    0.72
     mouse
    0.70
    ĵĺ
    0.68
     Submit
    0.68
     Harbor
    0.67
    LOAD
    0.66
     toggle
    0.65
    Activations Density 0.243%

    No Known Activations