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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. 455
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    Explanations

    phrases related to verbal interactions, specifically focusing on instances of verbally expressed actions or emotions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "verbal" and related forms

    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
    arent
    -0.86
    akeru
    -0.80
    xon
    -0.78
    enthal
    -0.76
    roxy
    -0.76
    resses
    -0.76
    annis
    -0.75
    ress
    -0.71
    alach
    -0.70
    ressing
    -0.69
    POSITIVE LOGITS
    ãĥ£
    1.00
    isations
    0.93
    ization
    0.85
    ized
    0.85
     verbal
    0.84
     altercation
    0.84
    izations
    0.84
    izing
    0.79
    izes
    0.79
     flu
    0.78
    Activations Density 0.017%

    No Known Activations