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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. 10-RES-JB
    11. 18807
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    INDEX
    Explanations

    words related to communication, specifically involving telling or explaining something to others

    oai_token-act-pair · gpt-3.5-turbo

    expressions of communication or assertions made by the speaker

    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
    idges
    -0.70
    eele
    -0.67
    metadata
    -0.67
    ONSORED
    -0.66
    scope
    -0.65
    ynski
    -0.64
    thinkable
    -0.62
    atus
    -0.62
    helps
    -0.62
    artifacts
    -0.60
    POSITIVE LOGITS
     myself
    1.86
     my
    1.20
     him
    1.18
     ourselves
    1.12
     them
    1.07
     everybody
    1.01
     anybody
    1.01
     somebody
    0.98
     everyone
    0.95
     THEM
    0.93
    Activations Density 0.453%

    No Known Activations