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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 12055
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    oai_token-act-pair · gpt-3.5-turbo

    statements related to statistical data or findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     *)
    -0.48
     meanwhile
    -0.46
     depends
    -0.46
     analogy
    -0.43
     implies
    -0.41
    itzer
    -0.41
     [+
    -0.41
    urers
    -0.41
    inar
    -0.40
    itars
    -0.40
    POSITIVE LOGITS
    %.
    0.53
    ]."
    0.50
    ".
    0.49
    .).
    0.49
    $.
    0.49
    ]).
    0.47
    ].
    0.47
    .''.
    0.46
    '.
    0.46
    ''.
    0.46
    Activations Density 5.414%

    No Known Activations