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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. 3-RES-JB
    11. 12881
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    Explanations

    references to the word "Din" with varying degrees of specificity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Din" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LEASE
    -0.83
    CLASSIFIED
    -0.75
     briefs
    -0.69
    verett
    -0.68
     rigging
    -0.68
    atson
    -0.67
    raints
    -0.66
    ndum
    -0.65
    76561
    -0.65
     tradem
    -0.65
    POSITIVE LOGITS
    osaurs
    1.36
     Din
    1.09
    ette
    0.97
    alog
    0.94
    ocide
    0.89
    ners
    0.87
    arium
    0.81
    aria
    0.81
    olf
    0.79
    oco
    0.79
    Activations Density 0.010%

    No Known Activations