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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. 3-RES-JB
    11. 20118
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    Explanations

    words related to grievances or feelings of being wronged

    oai_token-act-pair · gpt-3.5-turbo

    words related to feelings of irritation or grievances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     goggles
    -0.77
    culosis
    -0.77
    phrine
    -0.77
    HCR
    -0.73
    ocker
    -0.71
    enko
    -0.71
     sights
    -0.69
    izons
    -0.68
    akeru
    -0.66
    icians
    -0.66
    POSITIVE LOGITS
    rieved
    1.14
     agg
    0.92
    orb
    0.76
    loc
    0.76
    rup
    0.76
    regate
    0.73
    res
    0.71
    rast
    0.70
    orporated
    0.69
    ignore
    0.69
    Activations Density 0.005%

    No Known Activations