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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. 6-RES-JB
    11. 15092
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    Explanations

    requests or instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases requesting action or attention, particularly those starting with "Please."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cler
    -0.77
    pires
    -0.74
    arc
    -0.74
    é¾
    -0.72
    borgh
    -0.68
    laus
    -0.68
    tin
    -0.66
    lings
    -0.66
    imposed
    -0.64
    visor
    -0.63
    POSITIVE LOGITS
     enable
    0.94
     beware
    0.92
     advise
    0.92
     note
    0.90
     forgive
    0.88
     dont
    0.82
     Subscribe
    0.82
     ignore
    0.81
     Ignore
    0.81
     fill
    0.80
    Activations Density 0.015%

    No Known Activations