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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. 15864
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    Explanations

    verbs related to harmful or forceful actions

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with actions and events that suggest negative or adverse circumstances

    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
    Zone
    -0.53
     ethic
    -0.50
     formation
    -0.46
    ajo
    -0.46
    Labor
    -0.45
     bush
    -0.44
    ARE
    -0.44
    istries
    -0.44
    dom
    -0.43
    ipeg
    -0.42
    POSITIVE LOGITS
    ĸļ
    0.77
    ynamic
    0.66
     psychiat
    0.65
    ãĥ¼ãĥĨ
    0.64
     aback
    0.63
     by
    0.62
     proport
    0.60
    quished
    0.59
    igated
    0.57
    opted
    0.57
    Activations Density 0.481%

    No Known Activations