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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. 6-RES-JB
    11. 17609
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    Explanations

    the word "vert" or variations of it such as "vertex" or "avert" with varying degrees of activation

    oai_token-act-pair · gpt-3.5-turbo

    words related to subversion or undermining authority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    llah
    -0.82
    çĦ
    -0.76
    utical
    -0.75
    Interstitial
    -0.70
    senal
    -0.69
    ptive
    -0.68
     Bei
    -0.65
    ptives
    -0.65
    Aw
    -0.62
    andro
    -0.61
    POSITIVE LOGITS
    ibility
    1.01
    verted
    0.99
    version
    0.91
    ophobia
    0.83
    ibly
    0.81
    verts
    0.80
    ible
    0.79
    ibilities
    0.76
    verting
    0.76
    ected
    0.74
    Activations Density 0.031%

    No Known Activations