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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
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    Explanations

    verbs related to inflicting harm or control on others

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of emotional or social distress and 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
    Disclaimer
    -0.69
     implication
    -0.68
     resultant
    -0.67
     outcome
    -0.67
     guiActiveUnfocused
    -0.67
     antioxid
    -0.66
     objective
    -0.66
    Anonymous
    -0.65
     consequential
    -0.64
     ransom
    -0.60
    POSITIVE LOGITS
    ifies
    0.88
    itates
    0.88
    izes
    0.84
    jured
    0.81
    gha
    0.78
    cedes
    0.78
    igrated
    0.77
     Beats
    0.75
    ulates
    0.75
    lessly
    0.73
    Activations Density 0.442%

    No Known Activations