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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. 10050
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    Explanations

    titles or headings within text

    oai_token-act-pair · gpt-3.5-turbo

    the letter 'B' at the beginning of words or phrases

    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
     Gutenberg
    -0.70
     Investigative
    -0.64
     dere
    -0.63
     choke
    -0.62
     Pharaoh
    -0.62
     rpm
    -0.60
    wcsstore
    -0.59
     impunity
    -0.57
     choir
    -0.57
     por
    -0.57
    POSITIVE LOGITS
    rief
    1.23
    odies
    1.21
    ranch
    1.16
    anned
    1.15
    urt
    1.11
    rows
    1.10
    EGIN
    1.10
    ETA
    1.10
    OTH
    1.10
    amboo
    1.09
    Activations Density 0.052%

    No Known Activations