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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. 16724
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    Explanations

    instances of the word "sent" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "sent."

    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
     STATS
    -0.74
     Finish
    -0.72
    theless
    -0.71
    OWER
    -0.66
     Tune
    -0.62
    ITNESS
    -0.61
    lihood
    -0.61
    Plug
    -0.60
    foundation
    -0.59
    ESS
    -0.58
    POSITIVE LOGITS
    inel
    1.05
    entious
    0.89
    iments
    0.84
    keys
    0.83
    opolis
    0.83
    irection
    0.82
    encing
    0.81
    entary
    0.79
    enced
    0.78
    enc
    0.77
    Activations Density 0.021%

    No Known Activations