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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. 4-RES-JB
    11. 20121
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    Explanations

    words related to trajectory, including variations like 'trajectories', 'trajectory' and related words like 'catapult', 'projectiles'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to trajectories and courses of action

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

    No Comments

    Negative Logits
    unts
    -0.76
    bery
    -0.69
    uf
    -0.68
    iencies
    -0.65
    isle
    -0.64
    Interstitial
    -0.60
    ãĥĨãĤ£
    -0.60
    asper
    -0.59
    igh
    -0.59
    ãĥĥãĥĪ
    -0.59
    POSITIVE LOGITS
     traject
    1.25
     trajectory
    1.25
    eers
    0.91
    wcs
    0.88
     upwards
    0.79
    gradient
    0.78
    uates
    0.78
     upward
    0.76
     paths
    0.70
    eering
    0.70
    Activations Density 0.011%

    No Known Activations