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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. 6-RES-JB
    11. 4211
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    Explanations

    references to directions or positions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the definite article "the"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     followed
    -0.66
     Takes
    -0.64
    opsis
    -0.62
     sprang
    -0.61
    iac
    -0.60
     Albania
    -0.58
     strives
    -0.58
    INO
    -0.58
    borg
    -0.57
    Split
    -0.56
    POSITIVE LOGITS
     extent
    1.36
     fullest
    1.22
     detriment
    1.17
     same
    1.03
     forefront
    1.02
     depths
    0.97
    rouse
    0.97
     highest
    0.95
     lowest
    0.94
     nearest
    0.94
    Activations Density 0.222%

    No Known Activations