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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. 7195
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    INDEX
    Explanations

    phrases related to causality and importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or explanation

    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
     clipboard
    -0.67
    ahs
    -0.67
     sheets
    -0.64
    keys
    -0.63
    sheets
    -0.61
     slips
    -0.61
    abytes
    -0.60
     freezes
    -0.60
    bats
    -0.57
    umbs
    -0.57
    POSITIVE LOGITS
     Fuller
    0.65
    ^^^^
    0.63
    manuel
    0.62
     misunder
    0.61
    JUST
    0.61
    raq
    0.61
     Santos
    0.61
     Firstly
    0.61
     striking
    0.60
     borne
    0.59
    Activations Density 0.878%

    No Known Activations