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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8624
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    Explanations

    phrases indicating the start of a new concept or idea, often used as segues or transitions

    oai_token-act-pair · gpt-3.5-turbo

    conversational discourse markers and interjections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     respons
    -0.76
    ––
    -0.74
     accordingly
    -0.71
     [*
    -0.70
     pc
    -0.67
    -"
    -0.66
     (*
    -0.65
     */
    -0.64
     ``(
    -0.63
     consequently
    -0.63
    POSITIVE LOGITS
    resa
    1.07
    anmar
    0.90
    reetings
    0.90
    osate
    0.89
     Shot
    0.83
    aan
    0.82
     Things
    0.82
     Breat
    0.81
     Known
    0.80
     Tomorrow
    0.80
    Activations Density 0.298%

    No Known Activations