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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. 13830
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with individuals or specific entities

    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
    çīĪ
    -0.79
     Sabha
    -0.64
     circulation
    -0.62
    brance
    -0.62
     equival
    -0.61
     Sheep
    -0.60
     embry
    -0.60
     Pigs
    -0.59
     Skydragon
    -0.58
    å°Ĩ
    -0.58
    POSITIVE LOGITS
    icient
    1.01
    anamo
    0.77
    rito
    0.70
    uti
    0.70
    agine
    0.70
    ibi
    0.68
    ãĤ·ãĥ£
    0.67
    aco
    0.66
    iqueness
    0.66
    iman
    0.66
    Activations Density 0.098%

    No Known Activations