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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    the word "intervene"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "intervene" and its variations

    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
    ndra
    -0.86
    carbon
    -0.81
    vals
    -0.78
    MET
    -0.76
    esan
    -0.73
    quartered
    -0.71
    fi
    -0.71
    gran
    -0.71
    nosis
    -0.71
    ¥µ
    -0.70
    POSITIVE LOGITS
     intervening
    0.84
     intervene
    0.84
     Replay
    0.83
     interven
    0.78
     milit
    0.74
     intervened
    0.73
     favorably
    0.73
     uncom
    0.73
     peacefully
    0.73
    ignt
    0.71
    Activations Density 0.011%

    No Known Activations