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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. 6-RES-JB
    11. 2807
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    Explanations

    actions or attempts to perform actions against others

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to" followed by verbs or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Printed
    -0.70
    houses
    -0.70
    plates
    -0.68
    ILY
    -0.67
    Bench
    -0.66
    most
    -0.65
     Clouds
    -0.64
     awaits
    -0.64
     Houses
    -0.60
     Cros
    -0.59
    POSITIVE LOGITS
     recreate
    1.19
     imitate
    1.15
     penetrate
    1.13
     emulate
    1.13
     reconcile
    1.13
     replicate
    1.11
     revive
    1.09
     negotiate
    1.08
     evade
    1.08
     interfere
    1.08
    Activations Density 0.072%

    No Known Activations