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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. 10979
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    keywords related to technology and computing, particularly focusing on terms like "vector", "Foster", and "Ph.D. student"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to vectors and the name Foster

    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
    cffffcc
    -1.02
    urst
    -0.75
    uten
    -0.72
    earance
    -0.70
    agher
    -0.68
    oard
    -0.68
    Ħ¢
    -0.66
    ership
    -0.65
    uckland
    -0.65
     rein
    -0.65
    POSITIVE LOGITS
    gio
    1.00
    izations
    0.92
    ization
    0.85
    aceous
    0.84
    gil
    0.83
    son
    0.78
    ament
    0.76
    arium
    0.74
    ians
    0.73
    oids
    0.72
    Activations Density 0.068%

    No Known Activations