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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. 6891
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    INDEX
    Explanations

    phrases indicating anticipation or expectation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of anticipation or looking forward to future events

    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
    ignt
    -0.77
    uploads
    -0.68
     concess
    -0.66
    odder
    -0.65
     cess
    -0.63
     cultivation
    -0.62
    Ont
    -0.61
    ritical
    -0.59
    adra
    -0.58
    aroo
    -0.58
    POSITIVE LOGITS
    tics
    0.82
    TextColor
    0.76
     favorably
    0.75
    =\"
    0.66
    fy
    0.65
    vana
    0.64
    thin
    0.64
    oren
    0.64
    IUM
    0.63
    :,
    0.63
    Activations Density 0.785%

    No Known Activations