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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. 3-RES-JB
    11. 17360
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    INDEX
    Explanations

    religious or spiritual references

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to moral and ethical considerations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Target
    -0.84
     trending
    -0.83
     targeting
    -0.83
    taboola
    -0.82
    SAN
    -0.82
    Ops
    -0.82
    Based
    -0.81
     targeted
    -0.81
    andowski
    -0.80
    Phase
    -0.80
    POSITIVE LOGITS
    ,—
    1.24
     thence
    1.22
     negro
    1.15
     splend
    1.05
     brill
    1.04
     labou
    1.03
     whence
    1.00
     Herod
    0.99
     inflamm
    0.97
     afore
    0.97
    Activations Density 1.576%

    No Known Activations