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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. 7581
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    Explanations

    phrases related to taking action or steps towards achieving a specific goal

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "make" in various contexts

    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
    76561
    -0.69
     Vest
    -0.59
    ---------
    -0.57
    ;;;;
    -0.56
    pac
    -0.56
     scrimmage
    -0.55
    Fram
    -0.55
     Wick
    -0.54
    ban
    -0.54
    phrine
    -0.53
    POSITIVE LOGITS
     sure
    1.19
    hift
    0.98
    itives
    0.77
    solete
    0.77
     adjustments
    0.75
    iversal
    0.75
    ailable
    0.73
    awaru
    0.71
     sense
    0.71
    levard
    0.71
    Activations Density 0.132%

    No Known Activations