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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. 4434
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    Explanations

    phrases related to details or characteristics being defined or described

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the existence or state of something

    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
     Supports
    -0.67
     Tro
    -0.67
     Cher
    -0.63
     Offer
    -0.62
     tables
    -0.61
     benches
    -0.60
     Yok
    -0.59
    mosp
    -0.59
     launches
    -0.58
     Bagg
    -0.58
    POSITIVE LOGITS
    ĸļ
    0.88
    SourceFile
    0.86
    senal
    0.84
    Asset
    0.82
     indeed
    0.79
     blurred
    0.77
     undoubtedly
    0.76
    è£ħ
    0.75
     paramount
    0.74
    ORGE
    0.69
    Activations Density 0.391%

    No Known Activations