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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. 5980
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    Explanations

    phrases related to dropping or things being dropped

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "drop" and its variations associated with actions or phrases

    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
    eur
    -0.80
    iola
    -0.74
    itutional
    -0.64
    jun
    -0.63
    eering
    -0.62
    anol
    -0.62
    ador
    -0.60
    heid
    -0.59
    eous
    -0.58
    nor
    -0.57
    POSITIVE LOGITS
     hints
    1.13
    kick
    1.08
     jaws
    1.07
     bombshell
    0.90
     leaflets
    0.88
     bombs
    0.84
     dead
    0.83
     asleep
    0.82
    dead
    0.81
    down
    0.80
    Activations Density 0.073%

    No Known Activations