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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. 3696
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    Explanations

    phrases related to sensory perception and spatial awareness

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey emotions or feelings related to passion and personal expression

    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
    zan
    -1.00
    ģĸ
    -0.76
    §
    -0.67
    Ļ½
    -0.66
    mate
    -0.65
    mber
    -0.64
    ornings
    -0.63
    ĭ
    -0.62
    eem
    -0.62
    REE
    -0.62
    POSITIVE LOGITS
     whence
    0.77
    iest
    0.75
    liest
    0.75
     which
    0.72
    ]"
    0.66
     aka
    0.62
     namely
    0.61
     quo
    0.61
     minus
    0.61
    aughs
    0.58
    Activations Density 0.502%

    No Known Activations