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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. 14625
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    Explanations

    specific numbers and codes in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical and alphanumeric identifiers related to vehicles

    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
     immedi
    -0.66
     Jiu
    -0.64
     puzz
    -0.62
     Kop
    -0.61
     dips
    -0.61
     humanoid
    -0.61
     volunt
    -0.60
     EP
    -0.60
     backlog
    -0.59
     POV
    -0.59
    POSITIVE LOGITS
    98
    1.24
    93
    1.15
    88
    1.15
    38
    1.15
    99
    1.14
    89
    1.14
    96
    1.11
    39
    1.11
    78
    1.11
    79
    1.10
    Activations Density 0.113%

    No Known Activations