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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. 3-RES-JB
    11. 10781
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    Explanations

    words related to uplifting or inspiring moments

    oai_token-act-pair · gpt-3.5-turbo

    words related to elevation and descent, particularly in emotional or situational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cola
    -0.68
     Electronic
    -0.67
    POL
    -0.65
    PRES
    -0.65
     Thief
    -0.65
     Heller
    -0.64
     Hague
    -0.63
    BOOK
    -0.63
     Continued
    -0.63
     Fiscal
    -0.63
    POSITIVE LOGITS
    ifted
    1.18
    ifting
    1.06
    ift
    1.04
     upl
    1.00
    itud
    0.97
    ongs
    0.93
    atters
    0.90
    ands
    0.89
    ifts
    0.88
    ains
    0.88
    Activations Density 0.008%

    No Known Activations