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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. 2-RES-JB
    11. 13519
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    Explanations

    phrases related to specific events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "at" with varying frequency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FTWARE
    -0.72
    gravity
    -0.70
    alpha
    -0.65
    Guest
    -0.61
    fill
    -0.59
    eria
    -0.59
    rats
    -0.58
    Pac
    -0.58
    Lens
    -0.58
    birds
    -0.57
    POSITIVE LOGITS
     least
    1.20
    onement
    0.97
     halftime
    0.90
    hens
    0.82
    abase
    0.81
    roph
    0.77
    rial
    0.73
     dusk
    0.72
    yp
    0.69
     variance
    0.69
    Activations Density 0.169%

    No Known Activations