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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. 20183
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    Explanations

    mentions of specific actions or events happening in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of significant actions or events

    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
    never
    -0.72
     avoided
    -0.63
    çīĪ
    -0.62
     srfAttach
    -0.61
    although
    -0.61
     accordingly
    -0.60
    udeb
    -0.60
    dj
    -0.60
    bourg
    -0.58
    hoff
    -0.57
    POSITIVE LOGITS
     somebody
    0.69
    pires
    0.67
    cery
    0.61
     disrespect
    0.61
     isEnabled
    0.61
     someone
    0.60
     adversity
    0.57
     Something
    0.56
     something
    0.56
    ERG
    0.55
    Activations Density 0.428%

    No Known Activations