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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. 0-RES-JB
    11. 526
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    Explanations

    verbs related to planning or envisioning, often followed by a noun

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental concerns and issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lash
    -0.73
    iability
    -0.70
    ande
    -0.68
    anity
    -0.66
    sburg
    -0.65
     Rape
    -0.65
     Slip
    -0.64
    Flow
    -0.64
    indle
    -0.63
     repetition
    -0.62
    POSITIVE LOGITS
     env
    3.60
    env
    2.29
     tra
    1.41
     envoy
    1.27
     ausp
    1.13
     depl
    1.04
     envy
    0.94
    adv
    0.93
     adm
    0.90
     imag
    0.87
    Activations Density 0.007%

    No Known Activations