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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. 4-RES-JB
    11. 7170
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    Explanations

    phrases related to being washed up or washed away

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to being in a state of difficulty or distress

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

    No Comments

    Negative Logits
    ICAN
    -0.75
    querque
    -0.72
    imity
    -0.70
    vernment
    -0.68
    ĪĴ
    -0.67
    iator
    -0.67
    iev
    -0.66
     Cosponsors
    -0.64
     guiActiveUnfocused
    -0.63
    AFTA
    -0.63
    POSITIVE LOGITS
    creen
    0.69
    anty
    0.64
    gap
    0.63
     tears
    0.60
    stress
    0.60
    fresh
    0.60
    utsche
    0.59
    ecake
    0.58
    hern
    0.58
    cer
    0.57
    Activations Density 0.556%

    No Known Activations