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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. 3-RES-JB
    11. 4130
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    Explanations

    organizations, countries, and political entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant political events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alogue
    -0.69
    jured
    -0.65
    igmatic
    -0.65
    :(
    -0.63
    iple
    -0.63
    erent
    -0.62
    icro
    -0.59
    INAL
    -0.59
    rack
    -0.59
    ongevity
    -0.58
    POSITIVE LOGITS
     albeit
    0.92
     meanwhile
    0.88
     citing
    0.81
     aka
    0.81
    SPONSORED
    0.79
     which
    0.79
     namely
    0.79
    CVE
    0.76
     although
    0.76
     including
    0.75
    Activations Density 1.035%

    No Known Activations