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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
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    Explanations

    mentions of the state of Nebraska

    oai_token-act-pair · gpt-3.5-turbo

    references to the state of Nebraska

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     analyse
    -0.67
     analys
    -0.65
     learnt
    -0.65
     organise
    -0.62
     arte
    -0.62
     favour
    -0.62
    bish
    -0.61
    bies
    -0.61
     apologise
    -0.61
    abil
    -0.60
    POSITIVE LOGITS
     Nebraska
    2.46
     Wyoming
    2.41
     Wisconsin
    2.35
     Idaho
    2.20
    Wisconsin
    2.20
     Vermont
    2.20
     Louisiana
    2.16
     Illinois
    2.13
     Connecticut
    2.12
     Arkansas
    2.11
    Activations Density 0.022%

    No Known Activations