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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. 9-RES-JB
    11. 2874
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    Explanations

    technical specifications, possibly related to computer hardware

    oai_token-act-pair · gpt-3.5-turbo

    numerical and alphanumeric sequences typically used in technical or scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     adorable
    -0.72
     interviewing
    -0.71
     roundup
    -0.70
    esides
    -0.67
     comforting
    -0.65
     caring
    -0.65
     entertaining
    -0.65
     canine
    -0.63
     calming
    -0.62
     smashing
    -0.62
    POSITIVE LOGITS
     4096
    0.86
     Enabled
    0.82
     10000
    0.79
    00000000
    0.79
    FFFF
    0.79
     decimal
    0.79
     Reserved
    0.77
    Hz
    0.77
    10000
    0.77
     Hz
    0.76
    Activations Density 0.261%

    No Known Activations