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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. 2-RES-JB
    11. 7973
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    Explanations

    phrases related to medical conditions or symptoms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to people or populations, particularly in medical or social contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ed
    -0.74
    Madison
    -0.69
     wink
    -0.68
     Wink
    -0.66
    sense
    -0.65
    elsen
    -0.65
    ept
    -0.64
     viz
    -0.64
     Hed
    -0.64
    DEM
    -0.63
    POSITIVE LOGITS
    atform
    1.28
    asts
    1.10
    asms
    1.10
    ifting
    1.09
    ifts
    1.01
    opl
    1.00
    iverpool
    0.96
    ases
    0.92
    asions
    0.87
    anges
    0.86
    Activations Density 0.017%

    No Known Activations