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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. 4-RES-JB
    6. 7671
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    oai_token-act-pair · gpt-3.5-turbo

    the preposition "at" in various contexts

    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
    gravity
    -0.82
    aceutical
    -0.73
    FTWARE
    -0.70
    cro
    -0.68
    sett
    -0.67
    alpha
    -0.66
    Lens
    -0.66
    adoes
    -0.65
    monary
    -0.65
    immune
    -0.64
    POSITIVE LOGITS
     least
    1.31
     halftime
    1.02
    onement
    0.91
    las
    0.90
     midnight
    0.89
    abase
    0.85
     dusk
    0.85
    hens
    0.84
     times
    0.83
    roph
    0.82
    Activations Density 0.255%

    No Known Activations