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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. 1-RES-JB
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    Explanations

    adjectives related to confrontation or conflict

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors related to qualities or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olicited
    -0.75
    owship
    -0.74
    UCT
    -0.73
    anca
    -0.73
    FORE
    -0.71
    ILLE
    -0.71
    IRD
    -0.70
    aiman
    -0.70
    ATA
    -0.69
    OCK
    -0.69
    POSITIVE LOGITS
    ative
    1.26
    atives
    0.77
     minded
    0.75
     advers
    0.70
     pronouns
    0.70
     impulse
    0.69
    terday
    0.68
     ende
    0.67
     interrogation
    0.67
    iveness
    0.67
    Activations Density 0.016%

    No Known Activations