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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. 12373
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    Explanations

    words related to capturing attention or emphasizing importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate something is frequently overlooked or not acknowledged

    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
     Tanz
    -0.76
     Principle
    -0.74
    ende
    -0.71
     Dragonbound
    -0.68
    orney
    -0.61
     Archdemon
    -0.61
     Announce
    -0.60
     Alone
    -0.60
    arta
    -0.58
     Presence
    -0.58
    POSITIVE LOGITS
     rid
    1.05
     progressively
    0.99
     worse
    0.93
     overlooked
    0.84
     underway
    0.83
    tin
    0.83
     louder
    0.82
     stale
    0.81
     hammered
    0.81
     stuck
    0.80
    Activations Density 0.058%

    No Known Activations