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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. 7-RES-JB
    11. 10947
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    Explanations

    proper names or locations followed by a reference to an event or occupation

    oai_token-act-pair · gpt-3.5-turbo

    sentences that end with a period

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inki
    -0.70
     microbiome
    -0.69
     pit
    -0.68
    tain
    -0.68
    ensor
    -0.67
     slightest
    -0.66
     hump
    -0.65
    lies
    -0.64
     minion
    -0.63
     inclination
    -0.63
    POSITIVE LOGITS
     Afterwards
    1.61
     Eventually
    1.58
     Later
    1.45
     Shortly
    1.38
     Soon
    1.38
     Ultimately
    1.35
     Finally
    1.33
     Then
    1.31
     Meanwhile
    1.25
     Unfortunately
    1.24
    Activations Density 0.431%

    No Known Activations