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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. 1-RES-JB
    11. 22805
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    Explanations

    references to specific identifiers or codes such as "Id"

    oai_token-act-pair · gpt-3.5-turbo

    identifiers or references to specific entities or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UNCH
    -0.86
     guiActiveUnfocused
    -0.82
    ITCH
    -0.78
    OUP
    -0.74
    ICAN
    -0.69
    ãĥ¯ãĥ³
    -0.69
    ABLE
    -0.69
    ACE
    -0.66
    SPONSORED
    -0.65
    ctica
    -0.65
    POSITIVE LOGITS
    iots
    1.19
    iom
    1.10
    aho
    1.05
    ividual
    1.01
    iosyncr
    0.99
    entity
    0.97
    enna
    0.94
    leness
    0.92
    iop
    0.89
    irect
    0.87
    Activations Density 0.006%

    No Known Activations