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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. 9-RES-JB
    11. 23049
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    Explanations

    verb phrases related to communication and announcement

    oai_token-act-pair · gpt-3.5-turbo

    the use of pronouns and personal involvement in actions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rath
    -0.64
     Useful
    -0.58
    acher
    -0.57
     [+
    -0.53
    rift
    -0.52
     Kes
    -0.52
    urable
    -0.52
     Travels
    -0.52
    orer
    -0.52
    entry
    -0.52
    POSITIVE LOGITS
     immediately
    1.04
     promptly
    0.92
     instantly
    0.88
     faced
    0.87
     assumed
    0.86
     realised
    0.82
     greeted
    0.82
     exclaimed
    0.82
     realized
    0.82
     knew
    0.80
    Activations Density 0.194%

    No Known Activations