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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. 8698
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    Explanations

    words related to physical injuries or medical conditions related to bones

    oai_token-act-pair · gpt-3.5-turbo

    references to "collar" and related concepts, particularly in the context of injuries and socio-economic class

    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
     Centauri
    -0.77
    isSpecialOrderable
    -0.72
    =]
    -0.69
    endi
    -0.69
    aqu
    -0.69
    lete
    -0.68
    AIDS
    -0.67
    lihood
    -0.66
    ³³³³³³³³
    -0.65
    ulsion
    -0.65
    POSITIVE LOGITS
    bones
    1.26
    bone
    1.17
    collar
    0.88
     bone
    0.83
    oidal
    0.80
     collar
    0.76
    Bone
    0.75
    oad
    0.66
    bell
    0.65
    ãĤ·ãĥ£
    0.65
    Activations Density 0.071%

    No Known Activations