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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. 10-RES-JB
    11. 4446
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    Explanations

    verbs related to forceful action or impact

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ikarp
    -0.73
    gio
    -0.69
    ede
    -0.67
    clerosis
    -0.66
    missions
    -0.65
    pora
    -0.64
    si
    -0.63
    href
    -0.62
     Arbor
    -0.61
    umption
    -0.61
    POSITIVE LOGITS
     fear
    0.85
     hardest
    0.79
     resemblance
    0.76
    ched
    0.75
     terror
    0.71
     anew
    0.70
     chord
    0.69
     resemb
    0.69
     gold
    0.69
     upon
    0.68
    Activations Density 0.040%

    No Known Activations