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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. 17875
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    Explanations

    instances indicating failure or lack of success

    oai_token-act-pair · gpt-3.5-turbo

    instances of failure and related outcomes

    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
    çīĪ
    -0.75
    soType
    -0.72
    andise
    -0.72
    soDeliveryDate
    -0.69
    Tu
    -0.68
    Tar
    -0.67
    Chat
    -0.66
    Flo
    -0.66
    rose
    -0.65
    vec
    -0.62
    POSITIVE LOGITS
     miser
    1.12
     replication
    0.79
    tein
    0.77
    successfully
    0.73
     rollout
    0.71
     academ
    0.69
    msg
    0.68
     attempts
    0.68
     muster
    0.68
    aciously
    0.67
    Activations Density 0.190%

    No Known Activations