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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. 4-RES-JB
    11. 18594
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    Explanations

    numerical values preceded by a specific number

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with area codes

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

    No Comments

    Negative Logits
    ufact
    -0.87
    istically
    -0.84
    iful
    -0.84
    ointed
    -0.81
    inent
    -0.79
    endez
    -0.79
    ighty
    -0.74
    ntil
    -0.73
    pled
    -0.73
    etheless
    -0.73
    POSITIVE LOGITS
    MHz
    0.76
    RH
    0.75
     MHz
    0.74
    RNA
    0.72
     cylinders
    0.71
    789
    0.71
    æ©Ł
    0.70
    Pg
    0.70
     ILCS
    0.69
    RF
    0.69
    Activations Density 0.033%

    No Known Activations