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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. 21576
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    INDEX
    Explanations

    phrases or words related to negativity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negative sentiments or perceptions

    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
    akings
    -0.84
    pread
    -0.84
    ITNESS
    -0.82
    adr
    -0.81
    resp
    -0.77
    DOM
    -0.77
    Redditor
    -0.76
    æ©
    -0.75
    hens
    -0.75
    ĸļ
    -0.75
    POSITIVE LOGITS
     Negative
    1.05
     reinforcement
    1.02
     negative
    0.98
    negative
    0.90
     spiral
    0.87
     stigma
    0.85
     positive
    0.85
     feedback
    0.84
     negatively
    0.82
     impact
    0.81
    Activations Density 0.013%

    No Known Activations