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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. 0-RES-JB
    11. 20160
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    Explanations

    text related to specific locations within a document

    oai_token-act-pair · gpt-3.5-turbo

    the word "here" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ties
    -0.67
     delay
    -0.64
     continued
    -0.62
     rend
    -0.62
     cur
    -0.61
     imped
    -0.61
     vet
    -0.61
     accent
    -0.60
     repe
    -0.60
     cost
    -0.60
    POSITIVE LOGITS
    here
    4.62
    heres
    2.59
    herer
    2.41
    heric
    1.61
    her
    1.53
    hern
    1.50
    hers
    1.48
    hey
    1.48
    hered
    1.31
    hen
    1.27
    Activations Density 0.019%

    No Known Activations