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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. 2274
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    Explanations

    phrases related to a specific location or term

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Bang"

    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
    icient
    -0.76
    haps
    -0.75
    ickr
    -0.71
    ittee
    -0.70
    ensing
    -0.67
    agonist
    -0.67
    eper
    -0.67
    ossession
    -0.65
    uded
    -0.65
    ittees
    -0.65
    POSITIVE LOGITS
    alore
    1.18
     bang
    1.18
     Bang
    1.17
    bang
    1.13
    Bang
    1.09
    lihood
    0.95
    kok
    0.94
    adesh
    0.90
    sticks
    0.82
    sam
    0.79
    Activations Density 0.016%

    No Known Activations