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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. 5-RES-JB
    6. 22198
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    Explanations

    the word "or" followed by another word or number

    oai_token-act-pair · gpt-3.5-turbo

    the word "or" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onday
    -0.68
    Alert
    -0.67
    elong
    -0.66
    ilton
    -0.65
    opian
    -0.64
    edom
    -0.64
    ires
    -0.64
     horizont
    -0.63
    pter
    -0.61
    emouth
    -0.60
    POSITIVE LOGITS
    chard
    1.32
    acle
    1.23
    acles
    1.22
    Else
    1.20
    lando
    1.12
    chid
    1.11
    acular
    1.04
     otherwise
    1.01
    nam
    1.00
    ifice
    0.97
    Activations Density 0.126%

    No Known Activations