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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. 7-RES-JB
    11. 8724
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    Explanations

    prepositional phrases

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases or sentence structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fired
    -0.73
     Heads
    -0.73
    ross
    -0.64
     Named
    -0.63
     Picks
    -0.61
     guiActiveUnfocused
    -0.61
    Appearance
    -0.60
    taboola
    -0.59
     Objects
    -0.59
     Guards
    -0.58
    POSITIVE LOGITS
     um
    0.80
     alas
    0.80
    necess
    0.78
    but
    0.71
    unia
    0.71
     preferably
    0.69
    mere
    0.69
     uh
    0.69
     anyway
    0.68
     suffice
    0.67
    Activations Density 0.165%

    No Known Activations