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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. 18949
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    Explanations

    descriptive phrases that introduce various topics or discussions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify or describe groups or counts

    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
    APD
    -0.67
    ada
    -0.64
    çīĪ
    -0.63
    ilde
    -0.61
    growth
    -0.60
    CTV
    -0.60
    Christmas
    -0.60
    ãĤŃ
    -0.59
    bec
    -0.59
    Skip
    -0.58
    POSITIVE LOGITS
     surveyed
    0.76
     remaining
    0.70
     nutshell
    0.68
     overall
    0.68
     respondents
    0.67
     possible
    0.66
     foregoing
    0.65
     finalists
    0.61
    irk
    0.60
     ensuing
    0.60
    Activations Density 0.085%

    No Known Activations