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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. 1748
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    INDEX
    Explanations

    phrases indicating lack of success or failure

    oai_token-act-pair · gpt-3.5-turbo

    instances of failed expectations or unfulfilled outcomes

    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
    ictionary
    -0.77
     Reserved
    -0.69
     detrim
    -0.68
     tyr
    -0.67
     apologizing
    -0.66
    COLOR
    -0.66
     disproportion
    -0.64
     Sins
    -0.64
     inconsist
    -0.62
    seless
    -0.62
    POSITIVE LOGITS
     fruition
    1.25
     happen
    1.18
     material
    1.14
    material
    1.03
     succeed
    1.01
     occur
    0.98
     pans
    0.96
     happens
    0.95
     success
    0.93
     completion
    0.93
    Activations Density 0.256%

    No Known Activations