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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
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    Explanations

    references to the concept of freedom or being free

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of freedom

    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
     Takeru
    -0.78
    older
    -0.75
     sidx
    -0.74
    IDER
    -0.74
    URRENT
    -0.72
    MY
    -0.70
    IENT
    -0.69
    ENTS
    -0.69
    ulous
    -0.68
    itual
    -0.67
    POSITIVE LOGITS
    bies
    1.29
    zers
    1.02
     roam
    0.98
    zing
    0.91
    boot
    0.90
    bie
    0.89
    edom
    0.87
    bern
    0.82
     rein
    0.81
    zes
    0.78
    Activations Density 0.031%

    No Known Activations