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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. 12362
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    Explanations

    verbs related to maintaining or retaining something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of maintaining or preserving something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    sonian
    -0.87
    furt
    -0.83
    ode
    -0.73
    =>
    -0.72
    izon
    -0.71
    assi
    -0.69
    iliary
    -0.67
    ãģ®æ
    -0.66
     GOODMAN
    -0.66
    imity
    -0.66
    POSITIVE LOGITS
     tabs
    1.42
     pace
    1.35
     track
    1.24
     afloat
    1.18
     alive
    1.05
     vigil
    0.98
     secrets
    0.93
     quiet
    0.92
     mum
    0.84
     intact
    0.83
    Activations Density 0.046%

    No Known Activations