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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. 11995
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    Explanations

    weapons and violent actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to targets of violence or conflict

    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
    aird
    -0.71
    herty
    -0.68
    zl
    -0.65
    chart
    -0.65
    soDeliveryDate
    -0.63
    ockey
    -0.63
    isphere
    -0.62
    olars
    -0.61
    apter
    -0.60
    cius
    -0.59
    POSITIVE LOGITS
     spree
    0.81
     targets
    0.80
    ĺħ
    0.75
    ebin
    0.74
     unsuspecting
    0.74
     target
    0.72
     indiscrim
    0.72
     havoc
    0.69
     penetrating
    0.68
     unarmed
    0.66
    Activations Density 0.410%

    No Known Activations