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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. 0-RES-JB
    6. 17421
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    INDEX
    Explanations

    words related to actions or attributes that are evaluative or judgmental

    oai_token-act-pair · gpt-3.5-turbo

    words that convey a sense of affirmation or positive acknowledgment

    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
     SE
    -0.64
     walk
    -0.63
    BUS
    -0.63
    falls
    -0.63
     Bee
    -0.61
     conf
    -0.61
     WS
    -0.61
     grace
    -0.60
     squid
    -0.60
     flock
    -0.59
    POSITIVE LOGITS
    ative
    4.50
    atives
    3.13
    atively
    2.84
    ATIVE
    2.25
    ativity
    2.01
    ational
    1.69
    atory
    1.65
    ation
    1.49
    atorial
    1.48
    ations
    1.48
    Activations Density 0.008%

    No Known Activations