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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. 11-RES-JB
    11. 17287
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    Explanations

    verbs indicating perception or judgement towards something, such as "viewed" or "seen"

    oai_token-act-pair · gpt-3.5-turbo

    words associated with perception or interpretation of events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Clicker
    -0.73
     Primordial
    -0.61
     Frie
    -0.59
     Peb
    -0.58
     Frenzy
    -0.57
     Dragons
    -0.54
    Zone
    -0.53
     Suppose
    -0.53
     Waves
    -0.53
     Warehouse
    -0.53
    POSITIVE LOGITS
     as
    1.15
     favorably
    1.08
     skept
    1.06
     negatively
    1.06
     differently
    0.96
     symp
    0.90
     unfairly
    0.87
     positively
    0.87
    as
    0.86
     derog
    0.82
    Activations Density 0.114%

    No Known Activations