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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. 1603
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    INDEX
    Explanations

    imperatives instructing to take some form of action

    oai_token-act-pair · gpt-3.5-turbo

    imperative phrases that suggest taking action

    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
     advertised
    -0.79
     brill
    -0.68
     brim
    -0.68
     embr
    -0.65
     david
    -0.64
     repression
    -0.64
     constitu
    -0.63
     persecut
    -0.62
     disgr
    -0.61
     bottleneck
    -0.61
    POSITIVE LOGITS
    aways
    1.23
    overs
    1.03
    autions
    0.98
    away
    0.92
    Take
    0.85
    rolet
    0.84
    prise
    0.82
    OVER
    0.82
    weed
    0.82
     heed
    0.81
    Activations Density 0.026%

    No Known Activations