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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. 218
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    INDEX
    Explanations

    terms related to the concept of alignment or lining up

    oai_token-act-pair · gpt-3.5-turbo

    references to alignment or adjusting to certain conditions or standards

    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
    chal
    -0.87
    ilk
    -0.84
    sein
    -0.77
    HAEL
    -0.72
    loo
    -0.71
    perty
    -0.69
    agara
    -0.68
    hell
    -0.68
    TPPStreamerBot
    -0.67
    agers
    -0.67
    POSITIVE LOGITS
    ments
    1.20
    eering
    0.97
     alignment
    0.93
    iances
    0.91
     aligned
    0.90
     align
    0.90
    arity
    0.85
     alliances
    0.74
    aligned
    0.74
    ateral
    0.74
    Activations Density 0.025%

    No Known Activations