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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. 13466
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    Explanations

    words related to deeply ingrained beliefs or states of mind

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to deep-seated issues and their effects

    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
    apest
    -0.86
    iard
    -0.77
    swick
    -0.72
     Palest
    -0.72
    inea
    -0.69
    jee
    -0.68
     GEAR
    -0.66
     WRITE
    -0.65
    lez
    -0.65
     queens
    -0.64
    POSITIVE LOGITS
    Fi
    0.76
    iosity
    0.71
    orno
    0.70
    rity
    0.69
    abal
    0.67
     penetrating
    0.66
    ionics
    0.66
     philosophical
    0.64
     Detected
    0.63
     (>
    0.63
    Activations Density 0.115%

    No Known Activations