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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. 9-RES-JB
    11. 13865
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    Explanations

    words expressing intensity or completion

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases that emphasize the concept of "so far."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    degree
    -0.61
    exclusive
    -0.60
     Scand
    -0.56
    nings
    -0.55
     Ones
    -0.54
    track
    -0.54
     Broncos
    -0.53
    "],"
    -0.53
    ensual
    -0.53
     Wheel
    -0.52
    POSITIVE LOGITS
     far
    1.34
    far
    1.15
    othes
    1.13
    othe
    0.97
    bered
    0.93
    arer
    0.93
    apy
    0.85
    aring
    0.84
    aks
    0.84
    aps
    0.83
    Activations Density 0.075%

    No Known Activations